Calculation of Circular Microstrip Antenna Parameters with a Single Artificial Neural Network Model
Küçük Resim Yok
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
ELECTROMAGNETICS ACAD
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A model for the design of circular microstrip antennas, based on Artificial Neural Networks, is presented. The multiple output design parameters are calculated by using a neural network. This neural model is simple and useful for the computer-aided design (CAD) of microstrip antennas. A distinct advantage of neural computation is that, after proper training, a neural network completely bypasses the repeated use of complex iterative processes for new cases presented to it. For engineering applications, this simple model is very usable. Thus the neural model given in this work can also be used for many engineering applications and purposes. In this study, for this neural network model, patch radius, radiation resistance, directivity, total quality factor, bandwidth, efficiency and gain are calculated as output parameters against input parameters as dielectric constant, resonant frequency, dielectric substrate thickness and tangent loss. Extended Delta-Bar-Delta training algorithm by Multi layer Perceptron structure that used popular in literature and gives good approaches is used for training the network. The design results obtained by using the neural model are in very good agreement with the results available in the literature.
Açıklama
Progress in Electromagnetics Research Symposium -- MAR 27-30, 2012 -- Kuala Lumpur, MALAYSIA
Anahtar Kelimeler
Kaynak
PROCEEDINGS OF PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS 2012)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
